Feature Selection vs Feature Extraction | Machine Learning | Data Magic

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Hello Friends,
I could see beginners often get confused with feature selection and feature extraction. In this episode will see,
what is feature selection?
Why we have todo feature selection?
What is Feature Extraction?
Feature selection and feature Extraction difference?

======= Time code ==========
00:00 Introduction
00:28 what is feature selection?
01:38 Different methods to do feature selection
02:00 why to do feature selection?
03:07 What is feature extraction?
04:06 why we do feature extraction?
04:28 difference between feature selection and feature extraction

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Could you tell me which step should I take first on my data set whether it is "Feature selection" or "Feature extraction"? Which is most used step by step process?

JhonyMany-kf
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Thanks for explanation, but maybe we need more examples.

daniel_
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Very clear now. Please make more videos. Thank you sir.

nigarsultana
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Quality content and delivery subscribed

shivamathiya
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sir have you done hacking ml models videos, you are only explain one method

salaraj
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So, in feature selection, we are dropping the irrelevant feature completely & only taking the highly correlated features. And the selected features would be as the original features. But, in the case of feature extraction, we're just creating new features based on our original set, right??
btw, in feature extraction, they say "converting higher dimension data to lower dimension data while preserving the information of the original so, dimensions of a data and features are same thing??

dragnar
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i found earlier that f.ext comes before feature selection. but you are saying reverse...can u pls tell this concept of textual feature..like in sentiment analysis

nishah
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I think you havent done proper SEO for your videos.Thats why you are not getting views even with this much subscribers.
Optimize the content and make content which people are searching for.

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